Composition of approximated body-surface-potential-maps by utilizing a common 12-lead-ECG device

Area of Science:

• Cardiovascular physiology
• Biomedical engineering
• Medical instrumentation

Background:

• Body surface potential mapping (BSPM) provides detailed insights into cardiac electrical activity.
• Traditional BSPM requires specialized equipment, limiting its widespread clinical application.
• Digital 12-lead electrocardiogram (ECG) systems are widely available in clinical settings.

Purpose of the Study:

• To introduce a novel procedure for approximating BSPMs using readily available 12-lead ECG systems.
• To demonstrate that these pseudo-BSPMs retain significant spatio-temporal information from cardiac electrical activity.
• To facilitate the integration of BSPM-like analysis into routine ECG device software.

Main Methods:

• Development of signal processing algorithms to derive pseudo-BSPMs from standard 12-lead ECG data.
• Detailed description of the underlying signal processing techniques.
• Inclusion of an online method verification component within the algorithms.

Main Results:

• Successful approximation of body surface potential maps (BSPM) using standard 12-lead ECG systems.
• Demonstration that the generated pseudo-BSPMs effectively capture averaged spatio-temporal information of a characteristic cardiac beat.
• The developed algorithms are suitable for integration into commercial 12-lead ECG devices.

Conclusions:

• A cost-effective and accessible method for obtaining BSPM approximations has been established.
• The procedure enhances the diagnostic capabilities of existing 12-lead ECG equipment.
• The integration of these algorithms can advance the clinical utility of non-invasive cardiac electrical mapping.